Data Operations Analyst with 2+ years in SQL-based Reporting & Business Intelligence
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Data analytics professional with 2+ years of experience in SQL-based reporting, data analysis, and business reporting automation. Skilled in SQL, Python, Power BI, PostgreSQL, and Advanced Excel for data extraction, transformation, visualization, and KPI tracking. Experienced in developing interactive dashboards and delivering actionable insights to support data-driven decision-making. Passionate about leveraging analytics and business intelligence to solve real-world business problems.
Nitte Meenakshi Institute of technology
Bachelor of Engineering · Electronics and communication
August 1, 2018 – June 30, 2022
GTPL Hathway Ltd.
Data Operations Analyst (Executive Engineer)
April 1, 2024 – Present
Ahmedabad, Gujarat, India
KodNest Technologies
Java Full Stack Development Intern
June 1, 2023 – January 1, 2024
Bengaluru, Karnataka, India
Developer Burnout & Workplace Stress Analytics
June 18, 2026 – Present
Analyzed workplace stress and burnout indicators among software professionals using statistical and exploratory data analysis techniques. Cleaned and transformed raw survey data using Python and Jupyter Notebook. Used Oracle SQL to perform data extraction, aggregation, and trend analysis. Built Power BI dashboards to visualize burnout factors, work-life balance metrics, and employee well-being trends. Identified key drivers contributing to burnout and presented data-backed recommendations.
View ProjectRetail Customer Insights & Sales Analytics
June 18, 2026 – Present
Analyzed retail sales and customer behavior data to identify revenue drivers, purchasing trends, and customer segments. Performed data cleaning, transformation, and exploratory data analysis using Python (Pandas, NumPy) and Jupyter Notebook. Wrote SQL queries in PostgreSQL to extract business insights and calculate key sales KPIs. Developed interactive Power BI dashboards to visualize sales performance, customer demographics, and product trends. Generated actionable recommendations to improve customer retention and sales growth.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in diverse data analysis applications, from retail insights to workplace stress, indicating adaptability. The current role as a Data Operations Analyst aligns well with the target role of Data Operations Lead, suggesting a clear career trajectory and understanding of the domain. The breadth of technical skills (SQL, Python, Power BI, PostgreSQL, Oracle SQL) indicates a willingness to learn and apply various tools. The experience level (2+ years) is somewhat junior for a 'Lead' role, which might require more extensive leadership and strategic experience. The internship in Java Full Stack Development shows a broader technical interest, which could be beneficial for understanding data pipelines from an engineering perspective.
Soft Skills & Operational Fit
The candidate's resume highlights a proactive approach to improving efficiency through automation and a focus on delivering data-driven insights. The experience in partnering with business and operations teams suggests good collaboration skills. The projects demonstrate an ability to identify key drivers and provide actionable recommendations, indicating strong analytical and problem-solving capabilities. However, without specific psychometric or English test results, a deeper assessment of soft skills like stress handling, team collaboration, and communication clarity is not possible.